proceeding Papers Particle Swarm Optimization for Stochastic Process Calculi


Abstract

Stochastic process calculi offer a new way to reason about the structure of life. However, parameters fitting poses new challenges to researchers and new ways to match biological experiments with formal models are needed. Particle swarm optimization is a general optimization algorithm that showed good performances and flexibility. In this work, we provide a general algorithm that exploits particle swarm optimization within the process calculi framework.



Paper Details

Authors

D. Prandi

Publication

9th Workshop on Process Algebra and Stochastically Timed Activities PASTA/Bio-PASTA 2010

Language

English
.